Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Risus at ultrices mi tempus imperdiet. Dignissim diam quis enim lobortis scelerisque fermentum dui faucibus. Tempor nec feugiat nisl pretium fusce id velit. Ut lectus arcu bibendum at varius vel pharetra vel. Rhoncus urna neque viverra justo nec ultrices dui sapien eget. Vestibulum sed arcu non odio euismod lacinia at quis risus.
Toy case study of how Natural Language Processing (NLP) analyses text.
Showcase of how modern computing and machine learning can now easily analyse millions of words and historical patterns ie. use a simple case study of language processing to introduce NLPs then dive into budget speech analysis
Step through of how NLP models analyse text using tokenising to parse individual words, verbage, language, and keywords, such as identifying nouns, pronouns, verbs, and keywords (Universal Parts of Speech, UPOS).
Token/tokenising = individual words
UPOS = Universal Parts of Speech (word classification)
Lemma/lemmatising = root word form of each token
Tagging
Dependency Parsing Annotation
Select three global and political topics that most interest you
Timeline analysis of the last 123 years of budget speeches using chosen topics
Sentiment analysis of tone
Deep dive example
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Risus at ultrices mi tempus imperdiet. Dignissim diam quis enim lobortis scelerisque fermentum dui faucibus. Tempor nec feugiat nisl pretium fusce id velit. Ut lectus arcu bibendum at varius vel pharetra vel. Rhoncus urna neque viverra justo nec ultrices dui sapien eget. Vestibulum sed arcu non odio euismod lacinia at quis risus.
Nunc mi ipsum faucibus vitae aliquet nec ullamcorper. Tempus urna et pharetra pharetra. Diam quam nulla porttitor massa id neque aliquam vestibulum morbi. Blandit cursus risus at ultrices mi tempus imperdiet. Mauris ultrices eros in cursus turpis massa tincidunt dui. Cras fermentum odio eu feugiat. Vitae tortor condimentum lacinia quis vel eros donec. Scelerisque mauris pellentesque pulvinar pellentesque habitant morbi tristique senectus. Tempor nec feugiat nisl pretium. Vitae tempus quam pellentesque nec nam aliquam.
DEVELOPER/3D VISUALISATION Richard Lama, Nathanael Scott, Daniel Carter PHOTOS Francis Kokoroko DATA Matt Malishev DESIGN Mark Stehle, Luis Araujo, Kathleen Adele VIDEO Francis Kokoroko PRODUCTION Matthew Absalom-Wong EDITORS Nick Ralston, Lia Timson
Another data story by the Visual Stories Team